Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings: Lecture Notes in Computer Science, cartea 12969
Editat de Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbachen Limba Engleză Paperback – 14 noi 2021
For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority.
LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice.
And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community.
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Specificații
ISBN-13: 9783030908737
ISBN-10: 3030908739
Pagini: 190
Ilustrații: XXV, 190 p. 78 illus., 67 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030908739
Pagini: 190
Ilustrații: XXV, 190 p. 78 illus., 67 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
Intestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction.- Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning.- Bayesian Graph Neural Networks For EEG-based Emotion Recognition.- ViTBIS: Vision Transformer for Biomedical Image Segmentation.- Attention-guided pancreatic duct segmentation from abdominal CT volumes.- Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning.- Learning from mistakes: an error-driven mechanism to improve segmentation performance based on expert feedback.- TMJOAI: an artificial web-based intelligence tool for early diagnosis of the Temporomandibular Joint Osteoarthritis.- COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty.- Multi-task Federated Learning for Heterogeneous Pancreas Segmentation.- Federated Learning in the Cloud for Analysis of Medical Images- Experience with Open Source Frameworks.- On the Fairness of Swarm Learning in Skin Lesion Classification.- Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19: why discuss, what next.- The Role of Pleura and Adipose in Lung Ultrasound AI.- DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19.- Data imputation and reconstruction of distributed Parkinson's disease clinical assessments: A comparative evaluation of two aggregation algorithms.- Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods: Application to Retinal Diagnostics.